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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join QuantumLeap Innovations at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to pioneer next-generation machine learning models that will redefine industries. Our state-of-the-art lab in San Francisco empowers you to collaborate with Nobel laureates and develop breakthrough solutions in quantum computing, neural networks, and autonomous systems. Enjoy unparalleled resources, flexible work arrangements, and a culture where innovation thrives. Shape the future of artificial intelligence with us!

Responsibilities

  • Design and implement cutting-edge ML algorithms for quantum-enhanced computing systems
  • Lead cross-functional teams in developing ethical AI frameworks for 2026's regulatory landscape
  • Publish breakthrough research in top-tier journals and industry conferences
  • Prototype and validate AI solutions in simulated real-world environments
  • Mentor junior researchers and drive innovation through hackathons and internal R&D initiatives
  • Collaborate with government agencies on AI safety standards and policy development
  • Secure patents for novel AI methodologies with commercial applications

Qualifications

  • PhD in Machine Learning, Computer Science, or Quantum Physics (or equivalent experience)
  • 5+ years of hands-on experience with transformer architectures and reinforcement learning
  • Publication record in NeurIPS/ICML/AAAI with >50 citations
  • Proficiency in Python, TensorFlow/PyTorch, and quantum computing frameworks
  • Demonstrated experience leading AI projects with $1M+ budgets
  • Expertise in federated learning and differential privacy techniques
  • Strong background in AI ethics and responsible development frameworks
  • Ability to secure DoD/NSF-level research clearances preferred

Required Skills

Machine Learning Quantum Computing Neural Networks TensorFlow PyTorch Python Reinforcement Learning AI Ethics Quantum Algorithms

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